{"id":"W6944540845","doi":"10.21227/v32a-2c18","title":"CRAWDAD icsi/netalyzr-android","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Android (operating system); Troubleshooting; Backup; Mobile broadband; Data quality; Roaming; User experience design; Data collection; Personalization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00156035,0.001169079,0.001344652,0.0008527316,0.0004527524,0.000257627,0.00419758,0.0005685903,0.2407543],"category_scores_gemma":[0.0002622839,0.00128898,0.000416464,0.001082967,0.0002859758,0.0005701777,0.001398907,0.002489048,0.06921618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519596,"about_ca_system_score_gemma":0.0008432466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734226,"about_ca_topic_score_gemma":0.0007737317,"domain_scores_codex":[0.9927908,0.0002714936,0.001247604,0.002032736,0.002419348,0.001237982],"domain_scores_gemma":[0.9912336,0.0001275768,0.001013496,0.007023689,0.0001261369,0.0004754922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007567575,0.0003588907,0.00001993935,0.0001607636,0.0003560257,0.002352565,0.000009703203,0.00002281976,0.0001383035,0.000002913132,0.9964038,0.00009861822],"study_design_scores_gemma":[0.0006112048,0.000110542,0.00003894946,0.00003563992,0.0006650173,0.0005165332,0.00001992395,0.000004634813,0.00008204963,0.0000314226,0.9964807,0.001403353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005832698,0.0003448776,0.000004875015,0.00002685244,0.005164634,0.000809756,0.9923375,0.0004109313,0.0008422451],"genre_scores_gemma":[0.00000654495,0.0002574608,0.00004733097,0.0005401983,0.001064563,0.0003324516,0.9950612,0.0003656806,0.002324521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1715381,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057734169873477,"score_gpt":0.298708977124411,"score_spread":0.2681316354256763,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}